Selective Insurance (SIGI) Change in Taxes (2010 - 2026)
Selective Insurance (SIGI) recorded Change in Taxes of $440,000 in Q3 2026, down 87.3% from $3.46 million a year earlier.
Selective Insurance (SIGI) Change in Taxes (2010 - 2026) Analysis & Trends
On a TTM basis, Selective Insurance's Change in Taxes came in at -$10.45 million as of Sep 30, 2026; for FY2025, it was -$16.11 million.
- Across earlier years, Change in Taxes came in at -$2.71 million in FY2024, $9.08 million in FY2023, -$25.93 million in FY2022 and -$542,000 in FY2021.
- Quarterly Change in Taxes has ranged from -$66.87 million in Q2 2025 to $31.85 million in Q1 2025 over the past five years.
- On a year-over-year basis, Change in Taxes rose in 1 of the last five quarters, with an average decline of 30.3%.
- Peak year-over-year performance for Change in Taxes in the last five years was growth of 67.8% in Q1 2025, against a decline of 87.3% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$50.31 million (Q2 2026), $23.97 million (Q1 2026) and $15.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 45.00 Mn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | -99.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | -100.00 Mn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | -20.00 Mn |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 20.00 Mn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 435.00 Mn |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | - |
| 10 | Selective Insurance | 5.89 Bn | 3.99 Bn | 563.60 Mn | 440,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 440,000.00 |
| Jun 30, 2026 | -50.31 Mn |
| Mar 31, 2026 | 23.97 Mn |
| Dec 31, 2025 | 15.45 Mn |
| Sep 30, 2025 | 3.46 Mn |
| Jun 30, 2025 | -66.87 Mn |
| Mar 31, 2025 | 31.85 Mn |
| Dec 31, 2024 | 19.89 Mn |
| Sep 30, 2024 | 22.66 Mn |
| Jun 30, 2024 | -64.24 Mn |
| Mar 31, 2024 | 18.98 Mn |
| Jun 30, 2023 | -19.52 Mn |
| Mar 31, 2023 | 20.52 Mn |
| Jun 30, 2022 | -31.32 Mn |
| Mar 31, 2022 | 13.66 Mn |
| Jun 30, 2021 | -35.21 Mn |
| Mar 31, 2021 | 25.93 Mn |
| Dec 31, 2020 | 18.48 Mn |
| Sep 30, 2020 | -19.12 Mn |
| Jun 30, 2020 | 8.06 Mn |
Selective Insurance Change in Taxes API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-taxes&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "SIGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();